Papers
DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation
Imagic: Text-Based Real Image Editing with Diffusion Models
InstructPix2Pix: Learning to Follow Image Editing Instructions
LoRA: Low-Rank Adaptation of Large Language Models
A Novel Sampling Scheme for Text- and Image-Conditional Image Synthesis in Quantized Latent Spaces
Adding Conditional Control to Text-to-Image Diffusion Models
DiffCollage: Parallel Generation of Large Content with Diffusion Models
Prompt-to-Prompt Image Editing with Cross Attention Control
Scalable Diffusion Models with Transformers
Palette: Image-to-Image Diffusion Models
T2I-Adapter: Learning Adapters to Dig out More Controllable Ability for Text-to-Image Diffusion Models
An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion